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This chapter describes possible effects of the 2017 Endrew F. Supreme Court decision that raised the de minimus standard established in 1982 in Board of Education of the Hendrick Hudson School District v. Rowley. In Rowley, the court held school districts provided an appropriate education to students with disabilities by demonstrating that students' Individualized Education Programs (IEPs) are reasonably calculated to provide some educational benefit. In contrast, the Endrew F. decision requires IEPs to be reasonably calculated to provide progress that is appropriately ambitious in light of the child's circumstances. The implications of Endrew F. in the IEP process are delineated, including the importance of meaningful parent involvement; relevant and current statements of present levels of performance; challenging; ambitious and measurable goals; and frequent, systematic progress monitoring used to inform effective instructional changes that maximize student progress toward IEP goals. Finally, the authors discuss ways that Endrew F. may affect future litigation and that school districts may prepare to avoid possible litigation in the post-Endrew era.

This paper aims to propose an automatic imaging network design to improve the efficiency and accuracy of automated construction progress monitoring. The proposed method will address two shortcomings of the previous studies, including the large number of captured images required and the incompleteness and inaccuracy of generated as-built models.

Using the proposed method, the number of required images is minimized in two stages. In the first stage, the manual photogrammetric network design is used to decrease the number of camera stations considering proper constraints. Then the image acquisition is done and the captured images are used to generate 3D points cloud model. In the second stage, a new software for automatic imaging network design is developed and used to cluster and select the optimal images automatically, using the existing dense points cloud model generated before, and the final optimum camera stations are determined. Therefore, the automated progress monitoring can be done by imaging at the selected camera stations to produce periodic progress reports.

The achieved results show that using the proposed manual and automatic imaging network design methods, the number of required images is decreased by 65 and 75 per cent, respectively. Moreover, the accuracy and completeness of points cloud reconstruction is improved and the quantity of performed work is determined with the accuracy, which is close to 100 per cent.

It is believed that the proposed method may present a novel and robust tool for automated progress monitoring using unmanned aerial vehicles and based on photogrammetry and computer vision techniques. Using the proposed method, the number of required images is minimized, and the accuracy and completeness of points cloud reconstruction is improved.

To generate the points cloud reconstruction based on close-range photogrammetry principles, more than hundreds of images must be captured and processed, which is time-consuming and labor-intensive. There has been no previous study to reduce the large number of required captured images. Moreover, lack of images in some areas leads to an incomplete or inaccurate model. This research resolves the mentioned shortcomings.

To access new markets and improve sourcing practices small to medium sized manufacturing companies (SMEs) increasingly seek suppliers and customers in distant countries. Yet these new relationships with global partners often pose problems of an agency nature. The purpose of this paper is to directly address these challenges through the proposal of an information and communication technology (ICT)-based framework.

There has been very little research into how lead SMEs manage their global supply chains and the challenges they face. This paper uses a case study investigation to analyze how four French SMEs – final assemblers of machinery in the farming and agri-business sector – manage their international supply chains.

It was observed that the relationships and interactions between the SMEs and their immediate upstream and downstream partners were dominated by the agency problem and fell into six distinct categories (termed “barriers” to effective supply integration), namely; asymmetries, contractual design, supplier dependence, product specifications, supply chain complexity and performance monitoring.

The contribution of this paper is that a conceptual frame work was developed in which ICT solutions are offered to help address the barriers to supply chain integration, thus reducing the overall risk exposure due to externalities and problems of agency.

The effective management of banking products becomes more critical as the external environment becomes more competitive. In the corporate sector this is particularly true and a structured, methodical, yet flexible, approach is required. The structure of the product management process is outlined. The key elements are dealt with and the interrelationships with other organisational functions are illustrated, together with the factors that complicate management in the international arena.

Despite the proven benefits of an extended service business, most manufacturing companies find it extremely difficult to increase service revenues successfully.

An extensive benchmarking project was conducted with a variety of firms in order to gain a better understanding of success factors aimed at increasing service revenue in manufacturing companies. By reviewing the first benchmarking findings with companies that struggled to achieve a high level of service revenue, additional insight into how service revenue is influenced by the success factors was gained.

This paper attempts to provide a better understanding of the necessary changes in a firm's activities, organizational structure and culture, and to demonstrate the impact of these factors on service revenue increases.

The findings have some clear limitations. The main focus was on the German and Swiss machinery equipment manufacturing industries, and remarks are limited to these sectors. However, it is recommended applying the findings to other industry sectors which are confronted with similar problems.

The analysis and conclusions have significant implications for both researchers and managers. For service management theorists, this paper suggests that increasing service revenue in manufacturing companies is influenced strongly by several factors. All factors seem to be the right triggers for increasing service revenues in the desired manner. Monitoring these success factors and gaining an understanding of their impact, provides some guidance for managers seeking to create strong growth in service revenue.

This paper offers practical help to achieve high service revenues in manufacturing companies.

There is a considerable body of research on the assessment and prediction of aggression in psychiatric hospitals. A range of clinical and demographic characteristics associated with aggressive inpatients, such as young age and active symptoms of psychosis, have repeatedly been shown to contribute to aggression. Environmental factors have also been shown to be important. The study examined aggressive behaviours in an Australian forensic psychiatric hospital, using aggression‐specific recording instrumentation developed for the study. The purpose of the study was to compare results using aggression specific‐recording instrumentation with a previous study using retrospective methods relying on standard hospital incident forms, and to examine the relationship between type, direction and severity of aggression with the use of seclusion.In contrast with the results obtained in a previous study, staff rather than patients were more often the victims of both verbal and physical aggression, although patients were more frequently the victims of more severe forms of aggression. Patients were verbally and physically aggressive towards other patients at similar rates, although they were more frequently verbally, rather than physically, aggressive to staff. Acute wards recorded more aggression than rehabilitation wards. Males and females were aggressive at similar rates. A reduction in reported incidents of verbal and physical aggression, particularly against staff, occurred over the course of the study. Patients were secluded and incident forms were completed following approximately 30% of aggressive behaviours. Whether or not a patient was secluded and whether or not an incident form was completed depended on a range of factors, including the nature of the victim and the type and severity of the aggression.

This paper aims to explore the impacts and challenges of the Southern African Development Community’s industrialization agenda on the industrialization of two Sub-Saharan African states, Botswana and Tanzania.

The study adopts the documentary research method by carefully analyzing relevant policy documents, conference papers, reports, and journals.

While there is an impact on policy provisions targeted towards industrialization, there are challenges such as poor policy implementation that, if not addressed, could dampen efforts by policymakers in achieving the goal of industrializing the countries.

Governments should ensure equal synergy relations amongst institutions tasked with implementation. Increase investment in research and development (R&D) and human capital as drivers of innovation are needed for industrialization.

This paper adds to the discourse on industrialization. It also highlights challenges faced by countries whose policies have had minimal impact on industrialization.

The purpose of this paper is to raise awareness of the importance for library and information services (LIS) to take the responsibility to find a manageable way to regularly monitor internet censorship in their countries, and to suggest a framework for such monitoring and to encourage manageable on-going small scale research projects.

The paper follows on contract research for the IFLA Committee on Freedom of Access to Information and Freedom of Expression on country specific trends in internet censorship. Based on an extensive literature survey (not fully reflected here) and data mining, a framework is suggested for regular monitoring of country specific negative and positive trends in internet censorship. The framework addresses search strategies and information resources; setting up alerting services; noting resources for data mining; a detailed break-down and systematic monitoring of negative and positive trends; the need for reflection on implications, assessment of need(s) for concern (or not) and generation of suggestions for actions; sharing findings with the LIS community and wider society; and raising sensitivity for internet censorship as well as advocacy and lobbying against internet censorship. Apart from monitoring internet censorship, the framework is intended to encourage manageable on-going small scale research.

A framework of internet censorship monitoring can support the regular, systematic and comprehensive monitoring of known as well as emerging negative and positive trends in a country, and can promote timely expressions of concerns and appropriate actions by LIS. It can support sensitivity to the dangers of internet censorship and raise LIS’ levels of self-efficacy in dealing with internet censorship and doing manageable, small scale research in this regard.

Although a number of publications have appeared on internet censorship these do not offer a framework for monitoring internet censorship and encouraging manageable on-going small scale research in this regard.

Rebar is the prime component of reinforced concrete structures, and rebar monitoring is a time-consuming and technical job. With the emergence of the fourth industrial revolution, the construction industry practices have evolved toward digitalization. Still, hesitation remains among stakeholders toward the adoption of advanced technologies and one of the significant reasons is the unavailability of knowledge frameworks and implementation guidelines. This study aims to investigate technical factors impacting automated monitoring of rebar for the understanding, confidence gain and effective implementation by construction industry stakeholders.

A structured study pipeline has been adopted, which includes a systematic literature collection, semistructured interviews, pilot survey, questionnaire survey and statistical analyses via merging two techniques, i.e. structural equation modeling and relative importance index.

The achieved model highlights “digital images” and “scanning” as two main categories being adopted for automated rebar monitoring. Moreover, “external influence”, “data-capturing”, “image quality”, and “environment” have been identified as the main factors under “digital images”. On the other hand, “object distance”, “rebar shape”, “occlusion” and “rebar spacing” have been highlighted as the main contributing factors under “scanning”.

The study provides a base guideline for the construction industry stakeholders to gain confidence in automated monitoring of rebar via vision-based technologies and effective implementation of the progress-monitoring processes. This study, via structured data collection, performed qualitative and quantitative analyses to investigate technical factors for effective rebar monitoring via vision-based technologies in the form of a mathematical model.